Oracle Glossary : Trace Parameter Glossary
The exact definitions for every metric, structural grade, and simulation output generated by the RARE Engine.
Structural & Regime Classification
Core analytical inputs defining the market's current structural reality.
Anchor-Blended Calibration
A comprehensive conditioning framework encompassing volatility and a host of time-varying asset parameters. It dynamically calibrates the Monte Carlo simulations to ensure generated forward paths accurately respect the asset's current structural reality.
Composite Integrity (C_t)
The master gating value aggregating the structural integrity pillars. A signal is only passed to tactical execution if the Continuous Composite Integrity (C_t) exceeds the strict minimum threshold.
Energetic Integrity (φ_e)
Evaluates volatility stability and dissipation. It tracks whether the market's participation energy is dissipating in a controlled manner or expanding beyond the bounds of disciplined, predictable participation. This metric acts as a primary filter against structural decay, employing a temporal hysteresis latch to quarantine capital when the usable energy of a localized trend fractures into unreadable, chaotic variance.
Fragility (γ_t)
The structural dissipation slope, measuring the rate of change of Composite Integrity over a trailing window. Positive values indicate structural accretion, while negative values indicate active structural dissipation. This dynamical quantity is mathematically orthogonal to realized volatility, providing a pure, independent observable of market stability.
Material Integrity (φ_m)
Evaluates price structure and geometric coherence. It measures whether the observed price trajectory forms stable, interpretable mathematical patterns, or if it has devolved into chaotic noise. Analytically, this pillar evaluates the density of local extrema to penalize choppiness, combining this with ATR-normalized directional slope vectors to confirm structural momentum rather than reacting to raw price amplitude.
Structural Admissibility
The foundational binary regime state (Admissible or Inadmissible) determining if an asset is structurally safe to hold. As established in WP3, it acts as a highly persistent state variable measuring structural quality, mathematically driven by volatility, momentum, and robust historical boundary conditions.
Temporal Integrity (φ_t / Ethereal Integrity)
Evaluates regime persistence, memory, and continuity. It measures whether the current structural state demonstrates directional memory, or if its coherence is actively breaking down over time. By continuously calculating the asset's Hurst exponent and autocorrelation coefficients—and cross-referencing these against expected volatility composure—this pillar quantifies the probabilistic lifespan of the current structural reality.
Monte Carlo Simulation Physics
Forward-looking stochastic intelligence generation metrics.
Base vs. Stochastic (mc_off vs mc_on)
The core A/B evaluation framework proving the value of the engine. 'mc_off' uses only structural rules, while 'mc_on' injects the Monte Carlo simulation logic. Performance differences mathematically quantify the edge provided by simulation.
Coefficient of Variation (CV)
A normalized measure of simulation noise, calculated as the standard deviation of outcomes divided by the mean. Critical for evaluating the fragility of a strategy.
MC Simulation Ensemble
A distribution of forward price paths generated using seeded stochastic geometry, conditioned on the asset's current structural signature.
Sigma (Dispersion)
The standard deviation of terminal prices across the Monte Carlo ensemble. High dispersion indicates extreme forward uncertainty.
Simulation Bias
The geometric center of mass of the simulated future paths, indicating systemic drift upward or downward.
Decision Gating & Execution
Criteria dictating how raw intelligence is transformed into deployed capital.
Fractional Sizing
The exact percentage of the asset's maximum allowable exposure deployed on a given bar. Rather than being driven by a single engine, this is the final mathematical composite output of all underlying sizing modulations ensuring precise and bounded participation.
Sizing Modulation
A rigorous sizing protocol where capital allocation scales continuously based on a confluence of structural factors—including the mathematical distance from minimum threshold boundaries, volatility scaling ratios, and continuous regime scores—rather than binary all-in execution.
Performance Validation Metrics
The standardized metrics used during universal replay sweeps to rank and select Pareto-optimal production strategies.
5D Pareto Frontier Optimization
The multi-objective analysis process selecting strategies that mathematically balance ARCAGR, FV, DD%, CV, and Trade Consistency rather than peak-hunting a single metric.
At-Risk CAGR (ARCAGR)
The core performance metric. Measures the compounded annual growth rate generated specifically during structurally active (invested) periods, ignoring idle cash yield.
Capital Exposure (CU%)
The average percentage of capital actively deployed into an asset during the backtest timeline, reflecting the strategy's true time-in-market versus idle baseline cash.
Consistency Score (CT)
A multi-dimensional composite rank (Sortino ratio + Minimum 12M return + Half-Period ratio + Win Rate + Calmar ratio) evaluating the rigorous smoothness and reliability of the execution equity curve over time.
Maximum Drawdown (DD%)
The greatest peak-to-trough equity decline experienced by the strategy.
Out-of-Sample Holdout Validation
A strict scientific standard where specific market years are hidden from the optimization engine. If a strategy fails on the holdout data, it is rejected — mathematically preventing curve-fitting.
Terminal Final Value (FV)
The absolute ending equity value of a specific strategy variant calculated across the entire backtest horizon.
Explore More Research
RARE Framework
The conceptual foundation — Structural Admissibility, Three Pillars of Integrity, Composite Integrity, Monte Carlo Simulation, Dynamic Braking, and Asymmetric Consensus.
Explore Framework →RARE Foundation
Structural admissibility, Monte Carlo ensembles, and regime persistence — peer-ready published research.
Read Papers →RARE Validation
Proving the infrastructure works and the results are correct — structural foundation, tools, MC simulation, outcome validation, and portfolio validation.
Review Validation →